What is edge computing as it relates to cloud services?

Study for the WGU ITEC3005 D341 Cloud Deployment and Operations Exam. Learn through interactive multiple-choice questions, receive detailed hints and explanations, and enhance your exam readiness!

Edge computing refers to the practice of processing data closer to its source, rather than relying on a centralized data center. This approach significantly reduces latency, which is the time it takes for data to travel between the source and the data center. By handling data processing at the 'edge'—where the data is generated, such as on IoT devices or local servers—organizations can achieve faster response times and enhance the performance of applications that demand real-time data processing. Additionally, edge computing can alleviate bandwidth strain on networks by minimizing the amount of data that needs to be sent to centralized locations for processing, which is especially beneficial in scenarios involving large volumes of data generated by numerous devices. This method aligns well with cloud services, as it combines the benefits of cloud computing with localized data handling, facilitating a more efficient and responsive computing architecture.

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